|
gptkbp:instance_of
|
gptkb:cosmic_ray_detector
|
|
gptkbp:based_on
|
gptkb:neural_networks
|
|
gptkbp:can_detect
|
gptkb:vehicles
gptkb:animals
gptkb:humans
objects in images
|
|
gptkbp:developed_by
|
gptkb:Alexey_Bochkovskiy
|
|
gptkbp:has
|
multiple versions
high m AP (mean Average Precision)
|
|
gptkbp:has_achieved
|
Real-time object detection
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLOv4
|
|
gptkbp:improves
|
gptkb:YOLOv3
|
|
gptkbp:is_cited_in
|
Research papers
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Open_CV
gptkb:Py_Torch
|
|
gptkbp:is_considered_as
|
State-of-the-art in object detection
|
|
gptkbp:is_discussed_in
|
Online forums
|
|
gptkbp:is_evaluated_by
|
gptkb:Pascal_VOC
gptkb:COCO_dataset
|
|
gptkbp:is_featured_in
|
gptkb:Tutorials
|
|
gptkbp:is_more_accurate_than
|
gptkb:YOLOv3
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_part_of
|
gptkb:YOLO_series
AI and machine learning tools
|
|
gptkbp:is_popular_in
|
Computer vision community
|
|
gptkbp:is_used_for
|
Image segmentation
Facial recognition
Traffic monitoring
Video analysis
|
|
gptkbp:is_used_in
|
gptkb:robotics
Autonomous vehicles
Augmented reality applications
Surveillance systems
|
|
gptkbp:performance
|
object detection tasks
|
|
gptkbp:release_date
|
April 2020
|
|
gptkbp:requires
|
GPU for optimal performance
|
|
gptkbp:runs_through
|
gptkb:NVIDIA_GPUs
CPUs
|
|
gptkbp:speed
|
gptkb:YOLOv3
|
|
gptkbp:successor
|
gptkb:YOLOv5
|
|
gptkbp:supports
|
multiple classes
Tensor RT optimization
|
|
gptkbp:uses
|
Darknet framework
|
|
gptkbp:utilizes
|
gptkb:Spatial_Pyramid_Pooling
Mosaic data augmentation
Self-adversarial training
|
|
gptkbp:written_in
|
C and CUDA
|
|
gptkbp:bfsParent
|
gptkb:YOLO
|
|
gptkbp:bfsLayer
|
5
|